公开(公告)号：US11151986B1

公开(公告)日：2021-10-19

申请号：US16138447

申请日：2018-09-21

Applicant: Amazon Technologies, Inc.

Inventor： Bigyan Rajbhandari ,  Praveen Kumar Bodigutla ,  Zhenxiang Zhou ,  Karen Catelyn Stabile ,  Chenlei Guo ,  Abhinav Sethy ,  Alireza Roshan Ghias ,  Pragaash Ponnusamy ,  Kevin Quinn

IPC: G10L15/00 ,  G10L15/18 ,  G10L15/30 ,  G10L15/22

Abstract: Techniques for decreasing (or eliminating) the possibility of a skill performing an action that is not responsive to a corresponding user input are described. A system may train one or more machine learning models with respect to user inputs, which resulted in incorrect actions being performed by skills, and corresponding user inputs, which resulted in the correct action being performed. The system may use the trained machine learning model(s) to rewrite user inputs that, if not rewritten, may result in incorrect actions being performed. The system may implement the trained machine learning model(s) with respect to ASR output text data to determine if the ASR output text data corresponds (or substantially corresponds) to previous ASR output text data that resulted in an incorrect action being performed. If the trained machine learning model(s) indicates the present ASR output text data corresponds (or substantially corresponds) to such previous ASR output text data, the system may rewrite the present ASR output text data to correspond to text data representing a rephrase of the user input that will (or is more likely to) result in a correct action being performed.

公开(公告)号：US11437026B1

公开(公告)日：2022-09-06

申请号：US16672834

申请日：2019-11-04

Applicant: Amazon Technologies, Inc.

Inventor： Alireza Roshan Ghias ,  Chenlei Guo ,  Pragaash Ponnusamy ,  Clint Solomon Mathialagan

IPC: G10L15/197 ,  G10L15/22 ,  G10L15/06 ,  G10L15/18

Abstract: A system is provided for handling errors during automatic speech recognition by leveraging past inputs spoken by the user. The system may process a user input to determine an ASR hypothesis. The system may then determine an alternate representation of the user input based on the inputs provided by the user in the past, and whether the ASR hypothesis sufficiently matches one of the past inputs.

公开(公告)号：US11380304B1

公开(公告)日：2022-07-05

申请号：US16363880

申请日：2019-03-25

Applicant: Amazon Technologies, Inc.

Inventor： Pragaash Ponnusamy ,  Alireza Roshan Ghias ,  Chenlei Guo

IPC: G06F40/00 ,  G10L15/18 ,  G10L15/06 ,  G10L15/26 ,  G06F40/35 ,  G10L15/19 ,  G10L15/22 ,  G10L15/183 ,  G06F40/30

Abstract: A system is provided for handling errors during automatic speech recognition by processing a potentially defective utterance to determine an alternative, potentially successful utterance. The system processes an ASR hypothesis, using a probabilistic graph, to determine a likelihood that it will result in an error. Using the probabilistic graph, the system determines an alternate utterance.

公开(公告)号：US11862149B2

公开(公告)日：2024-01-02

申请号：US17464755

申请日：2021-09-02

Applicant: Amazon Technologies, Inc.

Inventor： Bigyan Rajbhandari ,  Praveen Kumar Bodigutla ,  Zhenxiang Zhou ,  Karen Catelyn Stabile ,  Chenlei Guo ,  Abhinav Sethy ,  Alireza Roshan Ghias ,  Pragaash Ponnusamy ,  Kevin Quinn

IPC: G10L15/00 ,  G10L15/18 ,  G10L15/30 ,  G10L15/22

CPC classification number: G10L15/1815 ,  G10L15/22 ,  G10L15/30 ,  G10L2015/223

Abstract: Techniques for decreasing (or eliminating) the possibility of a skill performing an action that is not responsive to a corresponding user input are described. A system may train one or more machine learning models with respect to user inputs, which resulted in incorrect actions being performed by skills, and corresponding user inputs, which resulted in the correct action being performed. The system may use the trained machine learning model(s) to rewrite user inputs that, if not rewritten, may result in incorrect actions being performed. The system may implement the trained machine learning model(s) with respect to ASR output text data to determine if the ASR output text data corresponds (or substantially corresponds) to previous ASR output text data that resulted in an incorrect action being performed. If the trained machine learning model(s) indicates the present ASR output text data corresponds (or substantially corresponds) to such previous ASR output text data, the system may rewrite the present ASR output text data to correspond to text data representing a rephrase of the user input that will (or is more likely to) result in a correct action being performed.

公开(公告)号：US20220059086A1

公开(公告)日：2022-02-24

申请号：US17464755

申请日：2021-09-02

Applicant: Amazon Technologies, Inc.

Inventor： Bigyan Rajbhandari ,  Praveen Kumar Bodigutla ,  Zhenxiang Zhou ,  Karen Catelyn Stabile ,  Chenlei Guo ,  Abhinav Sethy ,  Alireza Roshan Ghias ,  Pragaash Ponnusamy ,  Kevin Quinn

IPC: G10L15/18 ,  G10L15/30 ,  G10L15/22

Abstract: Techniques for decreasing (or eliminating) the possibility of a skill performing an action that is not responsive to a corresponding user input are described. A system may train one or more machine learning models with respect to user inputs, which resulted in incorrect actions being performed by skills, and corresponding user inputs, which resulted in the correct action being performed. The system may use the trained machine learning model(s) to rewrite user inputs that, if not rewritten, may result in incorrect actions being performed. The system may implement the trained machine learning model(s) with respect to ASR output text data to determine if the ASR output text data corresponds (or substantially corresponds) to previous ASR output text data that resulted in an incorrect action being performed. If the trained machine learning model(s) indicates the present ASR output text data corresponds (or substantially corresponds) to such previous ASR output text data, the system may rewrite the present ASR output text data to correspond to text data representing a rephrase of the user input that will (or is more likely to) result in a correct action being performed.